Update app.py

app.py

@@ -1,11 +1,7 @@
-pip install gradio==3.50
 from huggingface_hub import from_pretrained_fastai
 import gradio as gr
 from fastai.vision.all import *
 
-
-
-
 # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
 repo_id = "allopeap/one-piece"
 
@@ -15,8 +11,8 @@ labels = learner.dls.vocab
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
     #img = PILImage.create(img)
-    pred,pred_idx,probs = learner.predict(img)
+    pred, pred_idx, probs = learner.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['luffy.jpg','shanks.png']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3), examples=['luffy.jpg', 'shanks.png']).launch(share=False)